Qing Lv

1.2k citations
60 papers · 759 indexed · h-index 16
Topics
Cardiovascular Function and Risk Factors (22 papers)Transplantation: Methods and Outcomes (15 papers)Pulmonary Hypertension Research and Treatments (14 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEBiomaterials

In The Last Decade

Qing Lv

56 papers receiving 753 citations

Peers

Qing Lv
Comparison fields: 5 of 88
  • Cardiology and Cardiovascular Medicine 229
  • Pulmonary and Respiratory Medicine 199
  • Biomedical Engineering 195
  • Molecular Biology 193
  • Surgery 121
Replace Takayoshi Ueno with:
Takayoshi Ueno Japan
Erxiong Lu China
Takashi Tojo Japan
Mykola Tsapenko United States
Rodney Greene United States
Ali Nsair United States
Jan David Hohmann Australia
Cecillia Lui United States
Michael Bonios Greece
Manolis Bountioukos Netherlands
Qing Lv relative to Takayoshi Ueno Japan Takayoshi Ueno's profile →
Citations per field
00.5×1.6×
Takayoshi Ueno · 1×
Citations per year

Countries citing papers authored by Qing Lv

Since Specialization
Citations

This map shows the geographic impact of Qing Lv's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qing Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Lv more than expected).

Fields of papers citing papers by Qing Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing Lv. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qing Lv. The network helps show where Qing Lv may publish in the future.

Co-authorship network of co-authors of Qing Lv

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lv. A scholar is included among the top collaborators of Qing Lv based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qing Lv. Qing Lv is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3 3
4 2
5 4
6 12
7 4
8 20
9 2
10 6
11 1
12
Elevated apolipoprotein B predicts poor postsurgery prognosis in patients with hepatocellular carcinoma
1
13 7
14 40
15 6
16 7
17 1
18 17
19 7
20 15

About Qing Lv

Qing Lv is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Critical Care and Intensive Care Medicine, having authored 60 papers that have together received 759 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (22 papers), Transplantation: Methods and Outcomes (15 papers) and Pulmonary Hypertension Research and Treatments (14 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (92 citations), Cardiology and Cardiovascular Medicine (229 citations) and Biomaterials (93 citations). Qing Lv has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Mingxing Xie, Li Zhang, Yali Yang, Jing Wang, Yuman Li, Jianqing Gao, Fanzhu Li, Yulan Hu, Min Han and Wenquan Liang. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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